Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
IEEE

A Novel Hierarchical Generative Model for Semi-Supervised Semantic Segmentation of Biomedical Images

Abstract: In biomedical vision research, a significant challenge is the limited availability of pixel-wise labeled data. Data augmentation has been identified as a solution to this issue through ...
IEEE

Asymmetric Dual-Encoder Network with Clustering and Mutual Contrast Loss for the Semantic Segmentation of Remote-Sensing Images

Abstract: In recent years, the semantic segmentation of multimodal remote-sensing images using convolutional methods has received significant attention. Owing to the localized nature of convolutional ...
eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Data 2026 outlook: The rise of semantic spheres of influence

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
EurekAlert!

Huawei unveils “agentic-AI core” for 6G: a self-programming network that writes its own procedures

AI Core” lets 6G networks write their own control procedures: natural-language intents become executable missions, composed ...
GitHub

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...